Data Analyst with less than a year in Data Analysis & Visualization
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Computer Science Engineering student with hands-on experience in data analysis and visualization. Skilled in Python, SQL, Excel, Power BI, Tableau, and MySQL for managing databases, data analysis, visualization, and business reporting. Strong analytical and problem-solving abilities with a passion for transforming data into actionable business insights.
KGISL Institute of Technology
Bachelor of Engineering · Computer Science
August 1, 2022 – June 30, 2026
Himalayan Matriculation Higher Secondary School
Class X-XII
June 1, 2020 – May 31, 2022
PUMO TECHNOVATION INDIA PVT LTD
Data Analyst Intern
January 1, 2026 – June 1, 2026
Coimbatore, Tamil Nadu, India
Amazon Sales Analysis Dashboard
January 1, 2025 – December 31, 2025
Built an interactive dashboard to visualize product sales from Amazon dataset. Implemented KPIs, slicers, and drill-downs to analyze regional trends and best-selling items. Enhanced decision-making by providing real-time visual insights.
Swiggy Sales Analysis Dashboard
January 1, 2025 – December 31, 2025
Built an interactive dashboard to analyze Swiggy restaurant and food-order data across multiple cities and states. Created KPIs and interactive visualizations to analyze sales trends, top-performing restaurants, popular food categories, and regional performance. Enabled data-driven decision-making through drill-down analysis and dynamic reporting.
HR Attrition Analysis Dashboard
January 1, 2025 – December 31, 2025
Analyzed HR employee data using Pandas to identify attrition trends and workforce patterns. Performed data cleaning, transformation, and aggregation to derive meaningful insights. Visualized key metrics such as attrition rate, job roles, and age distribution using Matplotlib and Seaborn.
Preparing Data for Analysis with Microsoft Excel
Microsoft
June 1, 2026 – Present
From Excel to Power BI
Udemy
June 1, 2026 – Present
Python 3.X Programming
SkillRack
June 1, 2026 – Present
Data Analysis with Python
Coursera
June 1, 2026 – Present
Data Visualization with Python
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio (Amazon Sales, Swiggy Sales, HR Attrition, Car Theft Analysis) indicates a broad interest in applying data analysis across different domains. This adaptability and willingness to explore various data challenges suggest a good cultural fit for a dynamic team. The pursuit of multiple certifications also highlights a self-driven and continuous learning mindset.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and skill development through various certifications and personal projects. Their experience in an internship role suggests an ability to work within a structured environment and contribute to data-driven decision-making. The focus on creating actionable insights aligns well with operational needs.